A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management

Hui Xie; Shan Jiao; Yaqian Wang; Zhengying Cai

doi:doi:10.11648/j.ajece.20170101.12

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A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management

Hui Xie, Shan Jiao, Yaqian Wang, Zhengying Cai

Published in American Journal of Electrical and Computer Engineering (Volume 1, Issue 1)

Received: 15 March 2017 Accepted: 29 March 2017 Published: 15 May 2017

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Abstract

Because of complex sensor networks in smart city management, it is very difficult to optimize the data processing from all kinds of sensors. Here a multi-agent system (MAS) is made for data processing and optimization of sensor networks in smart city management. First, the sensor network in smart city management is modeled as a self-organized and decentralized agent swarm. In the MAS, each agent’s objective value is reckoned on-line and the best agent’s update rule is on the basis of proportional control concept. Second, each agent is organized by itself to herd to the prime agent in group. And when it avoids the crash between agent and the closest obstruction/agent, it moves to a moving target. Third, to analyze the MAS’s dynamics, the eigenvalue of time-varying discrete system’s analysis is made. Besides, a guideline is put forward for application on how to adjust the parameters of MAS’s. Finally, the results of the simulation verify that the proposed self-organized swarm system is effective in the capability of migration and flocking.

Published in	American Journal of Electrical and Computer Engineering (Volume 1, Issue 1)
DOI	10.11648/j.ajece.20170101.12
Page(s)	9-17
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Sensor Networks, Multi-Agent System, Big Data, Smart City

References

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APA Style

Hui Xie, Shan Jiao, Yaqian Wang, Zhengying Cai. (2017). A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. American Journal of Electrical and Computer Engineering, 1(1), 9-17. https://doi.org/10.11648/j.ajece.20170101.12

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ACS Style

Hui Xie; Shan Jiao; Yaqian Wang; Zhengying Cai. A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. Am. J. Electr. Comput. Eng. 2017, 1(1), 9-17. doi: 10.11648/j.ajece.20170101.12

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AMA Style

Hui Xie, Shan Jiao, Yaqian Wang, Zhengying Cai. A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. Am J Electr Comput Eng. 2017;1(1):9-17. doi: 10.11648/j.ajece.20170101.12

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@article{10.11648/j.ajece.20170101.12,
  author = {Hui Xie and Shan Jiao and Yaqian Wang and Zhengying Cai},
  title = {A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {1},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ajece.20170101.12},
  url = {https://doi.org/10.11648/j.ajece.20170101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20170101.12},
  abstract = {Because of complex sensor networks in smart city management, it is very difficult to optimize the data processing from all kinds of sensors. Here a multi-agent system (MAS) is made for data processing and optimization of sensor networks in smart city management. First, the sensor network in smart city management is modeled as a self-organized and decentralized agent swarm. In the MAS, each agent’s objective value is reckoned on-line and the best agent’s update rule is on the basis of proportional control concept. Second, each agent is organized by itself to herd to the prime agent in group. And when it avoids the crash between agent and the closest obstruction/agent, it moves to a moving target. Third, to analyze the MAS’s dynamics, the eigenvalue of time-varying discrete system’s analysis is made. Besides, a guideline is put forward for application on how to adjust the parameters of MAS’s. Finally, the results of the simulation verify that the proposed self-organized swarm system is effective in the capability of migration and flocking.},
 year = {2017}
}

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TY - JOUR
T1 - A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management
AU - Hui Xie
AU - Shan Jiao
AU - Yaqian Wang
AU - Zhengying Cai
Y1 - 2017/05/15
PY - 2017
N1 - https://doi.org/10.11648/j.ajece.20170101.12
DO - 10.11648/j.ajece.20170101.12
T2 - American Journal of Electrical and Computer Engineering
JF - American Journal of Electrical and Computer Engineering
JO - American Journal of Electrical and Computer Engineering
SP - 9
EP - 17
PB - Science Publishing Group
SN - 2640-0502
UR - https://doi.org/10.11648/j.ajece.20170101.12
AB - Because of complex sensor networks in smart city management, it is very difficult to optimize the data processing from all kinds of sensors. Here a multi-agent system (MAS) is made for data processing and optimization of sensor networks in smart city management. First, the sensor network in smart city management is modeled as a self-organized and decentralized agent swarm. In the MAS, each agent’s objective value is reckoned on-line and the best agent’s update rule is on the basis of proportional control concept. Second, each agent is organized by itself to herd to the prime agent in group. And when it avoids the crash between agent and the closest obstruction/agent, it moves to a moving target. Third, to analyze the MAS’s dynamics, the eigenvalue of time-varying discrete system’s analysis is made. Besides, a guideline is put forward for application on how to adjust the parameters of MAS’s. Finally, the results of the simulation verify that the proposed self-organized swarm system is effective in the capability of migration and flocking.
VL - 1
IS - 1
ER -

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Author Information

Hui Xie

School of Law and Public Administration, China Three Gorges University, Yichang, China
Shan Jiao

College of Computer and Information Technology, China Three Gorges University, Yichang, China
Yaqian Wang

College of Computer and Information Technology, China Three Gorges University, Yichang, China
Zhengying Cai

College of Computer and Information Technology, China Three Gorges University, Yichang, China

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Plain Text BibTeX RIS

APA Style

Hui Xie, Shan Jiao, Yaqian Wang, Zhengying Cai. (2017). A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. American Journal of Electrical and Computer Engineering, 1(1), 9-17. https://doi.org/10.11648/j.ajece.20170101.12

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ACS Style

Hui Xie; Shan Jiao; Yaqian Wang; Zhengying Cai. A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. Am. J. Electr. Comput. Eng. 2017, 1(1), 9-17. doi: 10.11648/j.ajece.20170101.12

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AMA Style

Hui Xie, Shan Jiao, Yaqian Wang, Zhengying Cai. A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management. Am J Electr Comput Eng. 2017;1(1):9-17. doi: 10.11648/j.ajece.20170101.12

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@article{10.11648/j.ajece.20170101.12,
  author = {Hui Xie and Shan Jiao and Yaqian Wang and Zhengying Cai},
  title = {A Multi Agent Scheme and Optimization for Big Data Management of Sensor Networks in Smart City Management},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {1},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ajece.20170101.12},
  url = {https://doi.org/10.11648/j.ajece.20170101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20170101.12},
  abstract = {Because of complex sensor networks in smart city management, it is very difficult to optimize the data processing from all kinds of sensors. Here a multi-agent system (MAS) is made for data processing and optimization of sensor networks in smart city management. First, the sensor network in smart city management is modeled as a self-organized and decentralized agent swarm. In the MAS, each agent’s objective value is reckoned on-line and the best agent’s update rule is on the basis of proportional control concept. Second, each agent is organized by itself to herd to the prime agent in group. And when it avoids the crash between agent and the closest obstruction/agent, it moves to a moving target. Third, to analyze the MAS’s dynamics, the eigenvalue of time-varying discrete system’s analysis is made. Besides, a guideline is put forward for application on how to adjust the parameters of MAS’s. Finally, the results of the simulation verify that the proposed self-organized swarm system is effective in the capability of migration and flocking.},
 year = {2017}
}

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